Probabilistic neural networks: a brief overview of theory, implementation, and application B Mohebali, A Tahmassebi, A Meyer-Baese, AH Gandomi Handbook of probabilistic models, 347-367, 2020 | 140 | 2020 |
Handbook of probabilistic models P Samui, DT Bui, S Chakraborty, R Deo Butterworth-Heinemann, 2019 | 22 | 2019 |
Big data analytics in medical imaging using deep learning A Tahmassebi, A Ehtemami, B Mohebali, AH Gandomi, K Pinker, ... Big Data: Learning, Analytics, and Applications 10989, 86-101, 2019 | 15 | 2019 |
A big data inspired preprocessing scheme for bandwidth use optimization in smart cities applications using raspberry pi B Mohebali, A Tahmassebi, AH Gandomi, A Meyer-Baese Big Data: Learning, Analytics, and Applications 10989, 1098902, 2019 | 13 | 2019 |
How scattering parameters can benefit the development of all-electric ships L Graber, B Mohebali, M Bosworth, M Steurer, A Card, M Rahmani, ... 2015 IEEE Electric Ship Technologies Symposium (ESTS), 353-357, 2015 | 11 | 2015 |
Validation of a scattering parameter based model of a power cable for shipboard grounding studies B Mohebali, P Breslend, L Graber, M Steurer ASNE Electric Machines Symposium (EMTS) 201, 28-29, 2014 | 11 | 2014 |
A scalable communication abstraction framework for internet of things applications using Raspberry Pi B Mohebali, A Tahmassebi, AH Gandomi, A Meyer-Baese, SY Foo Disruptive Technologies in Information Sciences 10652, 1065205, 2018 | 7 | 2018 |
Characterization of the common mode features of a 3-phase full-bridge inverter using frequency domain approaches B Mohebali The Florida State University, 2016 | 7 | 2016 |
Determining driver nodes in dynamic signed biological networks A Tahmassebi, B Mohebali, L Meyer-Baese, P Solimine, K Pinker, ... Smart Biomedical and Physiological Sensor Technology XVI 11020, 53-60, 2019 | 6 | 2019 |
Multiobjective genetic programming for reinforced concrete beam modeling A Tahmassebi, B Mohebali, A Meyer‐Baese, AH Gandomi Applied AI Letters 1 (1), e9, 2020 | 4 | 2020 |
Challenges of frequency domain measurement for modeling the components of shipboard power systems B Mohebali, P Breslend, L Graber, M Steurer Naval Engineers Journal 126 (4), 2014 | 4 | 2014 |
High Frequency Models for Rotating Machines in Ungrounded Shipboard Power Systems P Breslend, B Mohebali, L Graber, M Steurer Naval Engineers Journal (NEJ), 2015 | 3 | 2015 |
A novel position sensor in mobile robots motion control M Kia, KR Rezayieh, B Mohebali RoboCup IranOpen 2012 Symposium and 2nd Iran’s Joint Conference of Robotics …, 2012 | 3 | 2012 |
An Evolutionary Framework for Real-Time Fraudulent Credit Detection B Mohebali, G Karbaschi, A Tahmassebi, A Meyer-Baese, AH Gandomi 2021 IEEE Congress on Evolutionary Computation (CEC), 1999-2006, 2021 | 2 | 2021 |
Role of sensitivity analysis in stress testing power system controllers B Mohebali, K Schoder, M Stanovich, M Steurer, G Erlebacher Florida State University: Department of Scientific Computing, 2020 | 1 | 2020 |
The Role of Sensitivity Analysis in Stress Testing Real Time Models of Power Systems Controllers B Mohebali, K Schoder, M Stanovich, M Steurer, G Erlebacher 2021 IEEE Electric Ship Technologies Symposium (ESTS), 1-6, 2021 | | 2021 |
Multi-Objective Genetic Programming for RC Beam Modeling A Tahmassebi, B Mohebali, A Meyer-Baese, A Gandomi Authorea Preprints, 2020 | | 2020 |
Model reduction of structural biological networks by cycle removal A Tahmassebi, B Mohebali, P Solimine, U Meyer-Baese, K Pinker, ... Smart Biomedical and Physiological Sensor Technology XVI 11020, 105-112, 2019 | | 2019 |
Factor screening of large models in presence of space constraints B Mohebali, K Schoder, M Stanovich, M Steurer, G Erlebacher | | |
“Virtual” Experiment (ADS) CME Model | | |